Affinity Propagation Feature Clustering with Application to Vehicle Detection and Tracking in Road Traffic Surveillance

In this paper, we investigate the applicability of the newly proposed data clustering method, affinity propagation, in feature points clustering and the task of vehicle detection and tracking in road traffic surveillance. We propose a model-based temporal association scheme and novel preprocessing and postprocessing operations which together with affinity propagation make a quite successful method for the given task. Our experiments demonstrate the effectiveness and efficiency of our method and its superiority over the state-of-the-art algorithm.